DEVELOPMENT... OpenML
Run
128612

Run 128612

Task 3916 (Supervised Classification) kc1-binary Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_OneR(2)_I10
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.7481
Per class
Build CPU time
0.0217
Build memory
1004826444.9104
F measure
0.6559
Per class
Kappa
0.2927
KB relative information score
44.2189
Mean absolute error
0.3332
Mean prior absolute error
0.4853
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.657
Per class
Predictive accuracy
0.6552
Prior entropy
0.979
Recall
0.6552
Per class
Relative absolute error
0.6866
Root mean prior squared error
0.4925
Root mean squared error
0.5332
Root relative squared error
1.0826
SciMark benchmark
929.5397